Who This Helps
This is for Product Managers who feel stuck in endless debate about what to build or test next. If your team tracks 20 different numbers and you're not sure which one truly matters, the Metrics & Dashboards Basics course gives you a system to cut through the noise.
Mini Case
Maya's team was debating three big experiments. One promised a 5% lift in activation, another aimed to reduce support tickets by 15%, and a third was a new feature request from a major client. They spent 2 weeks in meetings without a clear decision. Sound familiar?
Do This Now (5 Steps)
- Grab your North Star metric. If you don't have one defined yet, pick the single number that best reflects customer value.
- List your top 3 experiment ideas on a whiteboard or doc.
- For each idea, write down one primary supporting metric it will impact (like activation rate or ticket volume).
- Estimate the potential impact on that supporting metric. Be realistic—aim for a 7-10% change, not a moonshot.
- Now, ask: Which experiment's supporting metric, if improved, would most directly boost our North Star? That's your winner. The answer often becomes obvious.
Avoid These Traps
- Don't prioritize based on who argues the loudest in the room.
- Avoid chasing the shiny new feature without linking it to a core metric.
- Stop building experiments that are impossible to measure. If you can't define the metric, you can't define success.
- Don't let perfect data delay a good decision. Use your best estimate and move forward.
- Resist the urge to run all experiments at once. Focus creates clarity.
Your Win by Friday
By Friday, you'll have a prioritized experiment backed by a clear metric hypothesis. You'll move from circular discussions to a confident, measurable decision. Your team will know exactly what they're building and why it matters. That's a quiet win that feels really good.